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钙成像数据的神经记录的计算处理。

Computational processing of neural recordings from calcium imaging data.

机构信息

HHMI Janelia Research Campus, Ashburn, VA 20147, USA.

HHMI Janelia Research Campus, Ashburn, VA 20147, USA.

出版信息

Curr Opin Neurobiol. 2019 Apr;55:22-31. doi: 10.1016/j.conb.2018.11.005. Epub 2018 Dec 7.

DOI:10.1016/j.conb.2018.11.005
PMID:30530255
Abstract

Electrophysiology has long been the workhorse of neuroscience, allowing scientists to record with millisecond precision the action potentials generated by neurons in vivo. Recently, calcium imaging of fluorescent indicators has emerged as a powerful alternative. This technique has its own strengths and weaknesses and unique data processing problems and interpretation confounds. Here we review the computational methods that convert raw calcium movies to estimates of single neuron spike times with minimal human supervision. By computationally addressing the weaknesses of calcium imaging, these methods hold the promise of significantly improving data quality. We also introduce a new metric to evaluate the output of these processing pipelines, which is based on the cluster isolation distance routinely used in electrophysiology.

摘要

电生理学一直是神经科学的得力工具,它可以让科学家以毫秒级的精度记录活体神经元产生的动作电位。最近,荧光指示剂的钙成像技术已经成为一种强大的替代方法。该技术有其自身的优缺点,以及独特的数据处理问题和解释混淆。在这里,我们回顾了将原始钙成像电影转换为具有最小人工监督的单个神经元尖峰时间估计的计算方法。通过计算解决钙成像的弱点,这些方法有望显著提高数据质量。我们还引入了一种新的指标来评估这些处理管道的输出,该指标基于电生理学中常用的聚类隔离距离。

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